Core Viewpoint - The article discusses the transition from Global AI to Local AI, emphasizing the need for countries and companies to establish their own data stacks to overcome the "three mountains" of power held by the U.S. in AI technology, models, and data [3][10]. Group 1: Transition to AI - The shift from traditional internet to AI represents a fundamental change in user habits, traffic sources, and business foundations [2]. - ChatGPT has rapidly gained 800 million users, showcasing the speed of AI adoption, while other AI companies are experiencing significant revenue growth [7]. - The emergence of DeepSeek signifies a move towards global equity in AI, challenging the dominance of U.S.-based AI solutions [7][10]. Group 2: The Three Mountains - The "three mountains" that need to be overcome include: 1. **Computing Power Dominance**: The U.S. maintains control through CUDA, necessitating the development of alternative systems like Huawei's CANN and AMD's ROCm [8]. 2. **Model Dominance**: The closed nature of U.S. models limits access, prompting the need for open-source alternatives like DeepSeek [9]. 3. **Data Dominance**: The reliance on English-dominated datasets restricts the development of localized AI solutions, highlighting the need for diverse, multilingual datasets [9]. Group 3: The Future of Programming - The article predicts the decline of "code illiteracy," with more individuals becoming capable of programming as AI tools simplify the coding process [11][12]. - The number of developers is expected to grow significantly, with GitHub reporting 190 million developers, increasing by 20% annually [11]. - The role of traditional programmers will evolve, as many tasks can now be automated by AI, allowing non-programmers to create applications independently [12][15]. Group 4: AI's Impact on Hardware - AI is transforming not only software but also hardware, enabling low-cost programming of physical devices [16]. - The integration of AI with hardware manufacturing in China presents significant opportunities, as demonstrated by successful startups leveraging AI for product development [17]. - The future will see a blend of software and hardware capabilities, allowing for innovative applications in various industries [17]. Group 5: The Future Landscape - The next decade is expected to witness a massive industrial transformation driven by AI, with every individual gaining access to powerful AI tools [18]. - The shift from digitalization to intelligent systems will redefine the boundaries of software development and user interaction [18].

Core Insights - The emergence of DeepSeek has significantly lowered the barriers to entry for AI entrepreneurship, shifting the landscape from a high-cost, high-tech game to a more accessible environment for a broader range of entrepreneurs [10][11][12] - The concept of "Global AI" is introduced as a platform to connect active investors with AI applications that address real-world needs, emphasizing the importance of practical solutions over pure technical expertise [4][24] - The current AI entrepreneurial environment favors "pragmatic entrepreneurs" who can translate AI technology into industry-specific solutions and manage global resources effectively [24][25] Investment Landscape - The investment threshold for AI applications has been set at 100,000 yuan, allowing more individuals to participate in early-stage investments and reducing the risk of large capital losses [18][20] - The focus is on investing in strong applications rather than just technology, with a significant emphasis on the entrepreneur's ability to adapt and respond to market needs [19][22][23] - The platform aims to leverage a network of contacts and partnerships to identify promising projects quickly, with a decision-making process that can be completed in as little as 72 hours [16][17] Market Dynamics - The AI industry is experiencing a paradigm shift, where the cost of developing applications has drastically decreased, making it feasible for smaller teams to create impactful solutions [7][8][10] - The global perception of Chinese AI capabilities has improved, with international clients now recognizing the competitiveness of Chinese software and engineering talent [10][11] - The AI application landscape is expected to thrive in sectors such as gaming, e-commerce, education, and smart hardware, where real user needs exist and AI can enhance efficiency [37][38] Entrepreneurial Challenges - Entrepreneurs are cautioned against over-relying on technological advancements and are encouraged to focus on practical applications that meet real-world demands [32][33] - The ability to understand and address genuine market needs is crucial for success, as many entrepreneurs may lack the necessary depth of understanding of their target industries [43][45] - The importance of flexibility and adaptability in entrepreneurship is highlighted, as many successful projects evolve significantly from their initial plans [22][34]